ArticleVeterinarni medicina2025
Clinical and microbiological evaluation of foot diseases in small ruminants in Siirt province (Türkiye) and its districts.
Article in Veterinarni medicina, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Association of DGAT1 and POU1F1 Gene Polymorphisms With the Milk Traits in the Cross-Bred Hamdani Sheep Bred Under Extensive Management.Veterinary medicine and science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foot diseases are one of the leading health problems that lead to significant yield losses in small ruminant breeding. This study aimed to clinically evaluate foot diseases in sheep and goats reared in Siirt province of Türkiye and its surrounding districts. Molecular methods were used to investigate the presence of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.